Factors affecting the sustainability of educational changes: A mixed method research
The aim of this study is to determine factors affecting the sustainability of educational changes. With this purpose in mind, exploratory sequential mixed methods design was used. During the first phase of the study, 18 teachers and school administrators were interviewed. In the second phase, a ques...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2018-01-01
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Series: | Cogent Education |
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Online Access: | http://dx.doi.org/10.1080/2331186X.2018.1502395 |
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author | Murat Baglibel Mustafa Samancioglu Gary M. Crow |
author_facet | Murat Baglibel Mustafa Samancioglu Gary M. Crow |
author_sort | Murat Baglibel |
collection | DOAJ |
description | The aim of this study is to determine factors affecting the sustainability of educational changes. With this purpose in mind, exploratory sequential mixed methods design was used. During the first phase of the study, 18 teachers and school administrators were interviewed. In the second phase, a questionnaire was administered to 398 teachers and school administrators and collected data were analysed by Ordinal Logistic Regression Analysis. Results of the study revealed that the sustainability of educational changes that occurred in the Turkish educational system was generally poor. Research results also indicated that the four factors identified had statistically significant effect on the sustainability of educational changes. |
first_indexed | 2024-03-12T05:33:26Z |
format | Article |
id | doaj.art-651aff812d554450ac00cdb9c1fdc245 |
institution | Directory Open Access Journal |
issn | 2331-186X |
language | English |
last_indexed | 2024-03-12T05:33:26Z |
publishDate | 2018-01-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Cogent Education |
spelling | doaj.art-651aff812d554450ac00cdb9c1fdc2452023-09-03T06:33:43ZengTaylor & Francis GroupCogent Education2331-186X2018-01-015110.1080/2331186X.2018.15023951502395Factors affecting the sustainability of educational changes: A mixed method researchMurat Baglibel0Mustafa Samancioglu1Gary M. Crow2Independent ResearcherIndependent ResearcherIndiana University School of EducationThe aim of this study is to determine factors affecting the sustainability of educational changes. With this purpose in mind, exploratory sequential mixed methods design was used. During the first phase of the study, 18 teachers and school administrators were interviewed. In the second phase, a questionnaire was administered to 398 teachers and school administrators and collected data were analysed by Ordinal Logistic Regression Analysis. Results of the study revealed that the sustainability of educational changes that occurred in the Turkish educational system was generally poor. Research results also indicated that the four factors identified had statistically significant effect on the sustainability of educational changes.http://dx.doi.org/10.1080/2331186X.2018.1502395educational changesustainabilityexploratory sequential mixed researchordinal logistic regression |
spellingShingle | Murat Baglibel Mustafa Samancioglu Gary M. Crow Factors affecting the sustainability of educational changes: A mixed method research Cogent Education educational change sustainability exploratory sequential mixed research ordinal logistic regression |
title | Factors affecting the sustainability of educational changes: A mixed method research |
title_full | Factors affecting the sustainability of educational changes: A mixed method research |
title_fullStr | Factors affecting the sustainability of educational changes: A mixed method research |
title_full_unstemmed | Factors affecting the sustainability of educational changes: A mixed method research |
title_short | Factors affecting the sustainability of educational changes: A mixed method research |
title_sort | factors affecting the sustainability of educational changes a mixed method research |
topic | educational change sustainability exploratory sequential mixed research ordinal logistic regression |
url | http://dx.doi.org/10.1080/2331186X.2018.1502395 |
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